CloudBees announced the integration of CloudBees’ continuous delivery and release orchestration solution, CloudBees CD/RO, with Argo Rollouts.
As companies move to more agile development, automated testing and process discovery will be critical to their ability to achieve innovation and success. Nearly 90% of software development teams have adopted agile and adoption is spreading throughout the organization, including IT, where close to two-thirds of teams have adopted it.
Speed and agility are essential for business success today and DevOps is enabling businesses to build better products and services and keep pace with today's ever-evolving customer. Without the right tools for automated testing and process discovery, however, it's unlikely that a DevOps strategy will produce the desired results.
AI and ML Drive ROI in Process Discovery and Automated Testing
Process discovery provides businesses with visibility across application workflows, enabling them to prioritize the tasks that are most frequent and time-consuming. It also takes the guesswork out of not just what needs to be developed but also what needs to be tested, it also enables automated testing, which is the ability to free up resources and shift timing to enable faster time to market and more innovative development. Together, process discovery and automated testing help businesses increase productivity across the DevOps workflow.
When artificial intelligence and machine learning are applied to process discovery and automated testing, DevOps can really take off and drive significant ROI. AI enables predictive testing, which alerts businesses if a process is succeeding or failing. With ML, businesses can ascertain what and why testing failed, fix it, and run the test again. Teams can release application updates faster, thereby responding more quickly to employee, customer, and market needs while driving results to the organization's bottom line.
As businesses move forward with DevOps, testing is crucial in successfully enabling new approaches to DevOps processes, such as shift left testing, shift left security and microservices.
Shift Left Testing
Shift left testing refers to the practice of doing more testing early on in the application development cycle, meaning every time teams update code, an automated test can be run too — before it even heads to quality assurance (QA). Traditional testing happened shortly before software goes into production, leaving teams in a difficult spot if bugs are discovered. Fixing a bug at that stage runs the risk of breaking other strands of code, throwing the project into delays and costing companies potentially millions of dollars.
With automated testing, shift left testing enables teams to identify and fix bugs earlier in the process, particularly when using continuous integration/continuous delivery (CI/CD) pipelines, which enable teams to apply application changes on a continuous basis. Process discovery is driving better shift left testing and speeding up the development cycle. It's not too long before AI is introduced to this testing process to enable predictive testing.
Shift Left Security
Similar to shift left testing, shift left security is the practice of moving security testing up earlier in the application development cycle. With the acceleration of cycles, security is often a bottleneck. Shift left security moves security more to the development teams, enabling them to work with security to put the right security guardrails in place for the application.
Automated testing enables teams to detect and fix external threats to applications, speeding up development cycles and reducing time to market.
Microservices offer an effective way to break up an application to make it independent and easier to scale so it can meet the big-scale needs of today's businesses. Microservices not only enable scalable applications but stable ones. Microservices have become popular with containerization because they eliminate the need for big virtual machines to deploy applications.
Microservices let teams test their ideas and optimize their user experiences without requiring constant maintenance. The core of the microservices model is the ability to combine discrete functions in a way that optimizes alignment with business workflows — and to make changes quickly when new workflows are required. Test automation simplifies arriving at the right workflow.
As the demands on the business increase as customer expectations continue to escalate, agile DevOps presents a unique opportunity for businesses to speed up development without sacrificing quality or security. Automated testing and process discovery elevate the promise of agile DevOps, particularly as AI and ML become more of a factor in the development promise.
amazee.io, a Mirantis company, announced that its fully-managed application delivery platform is available in AWS Marketplace.
env0 secured an additional $18.1 million of funding to conclude its Series A investment round with a total of $35.1 million.
Planview announced a new strategic collaboration with UiPath. The integration is designed to fuse the UiPath Business Automation Platform with the Planview Value Stream Management (VSM) solution Planview® Tasktop Hub.
Noname Security announced major enhancements to its API security platform to help organizations protect their API ecosystem, secure their applications, and increase cyber resilience.
Mirantis announced the latest version of Mirantis Container Cloud -- MCC 2.23 -- that simplifies operations with the ability to monitor applications performance with a new Grafana dashboard and to make updates to Kubernetes clusters with a one-click “upgrade” button from a web interface.
Pegasystems announced updates to Pega Cloud supported by an enhanced Global Operations Center to deliver a more scalable, reliable, and secure foundation for its suite of AI-powered decisioning and workflow automation solutions.
D2iQ announced the launch of DKP Gov, a new container-management solution optimized for deployment within the government sector.
StackHawk announced the availability of StackHawk Pro and StackHawk Enterprise for trial and purchase through the Amazon Web Services (AWS) Marketplace.
Octopus Deploy announced the results KinderSystems has seen working with Octopus. Through the use of Octopus, KinderSystems automates its software deployment processes to meet the complex needs of its customers and reduce the time to deploy software.
Elastic Path announced Integrations Hub, a library of instant-on, no-code integrations that are fully managed and hosted by Elastic Path.
Yugabyte announced key updates to YugabyteDB Managed, including the launch of the YugabyteDB Managed Command Line Interface (CLI).
Ambassador Labs released Telepresence for Docker, designed to make it easy for developer teams to build, test and deliver apps at scale across Kubernetes.
Fermyon Technologies introduced Spin 1.0, a major new release of the serverless functions framework based on WebAssembly.
Torc announced the acquisition of coding performance measurement application Codealike to empower software developers with even more data that increases skills, job opportunities and enterprise value.